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Table 1 Performance metrics of different classifiers in the training set

From: Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears

Classifier

AUC

Accuracy

Sensitivity

Specificity

PPV

NPV

Recall

F1 score

LR

0.920

0.885

0.831

0.913

0.831

0.913

0.831

0.831

SVM

0.973

0.933

0.930

0.935

0.880

0.963

0.930

0.904

KNN

0.920

0.857

0.782

0.895

0.793

0.889

0.782

0.787

LightGBM

0.982

0.928

0.930

0.928

0.868

0.962

0.930

0.898

MLP

0.970

0.919

0.908

0.924

0.860

0.952

0.908

0.884

  1. The bold values are the optimal values of each quantitative indicator